When your enterprise data makes off-the-shelf LLMs useless

1. 1Identify your enterprise data's unique characteristics
2. 2Assess the limitations of off-the-shelf LLMs for your use case
3. 3Fine-tune an LLM using your enterprise data
4. 4Evaluate the performance of the fine-tuned LLM
5. 5Compare the results with off-the-shelf LLMs

CTOs, heads of product, and data scientists in regulated industries can benefit from understanding the limitations of off-the-shelf LLMs and how to fine-tune them for their specific use cases

💡 Off-the-shelf LLMs may not perform well on enterprise data due to its unique characteristics, fine-tuning can improve performance

Off-the-shelf LLMs may not cut it for enterprise data. Fine-tuning can help!